
Maximizing the validity of the Gaussian Approximation for the biphoton State from
parametric down-conversion
Baghdasar Baghdasaryan,1, 2, ∗Fabian Steinlechner,3, 4, †and Stephan Fritzsche1, 2, 4
1Theoretisch-Physikalisches Institut, Friedrich-Schiller-Universit¨at Jena, 07743 Jena, Germany
2Helmholtz-Institut Jena, 07743 Jena, Germany
3Fraunhofer Institute for Applied Optics and Precision Engineering IOF, 07745 Jena, Germany
4Abbe Center of Photonics, Friedrich-Schiller-University Jena, 07745 Jena, Germany
(Dated: December 20, 2022)
Spontaneous parametric down-conversion (SPDC) is widely used in quantum applications based
on photonic entanglement. The efficiency of photon pair generation is often characterized by means
of a sinc(L∆k/2) function, where Lis the length of the nonlinear medium and ∆kis the phase
mismatch between the pump and down-converted fields. In theoretical investigations, the sinc
behavior of the phase mismatch has often been approximated by a Gaussian function exp (−αx2)
in order to derive analytical expressions for the SPDC process. Different values have been chosen
in the literature for the optimization factor α, for instance, by comparing the widths of sinc and
Gaussian functions or the momentum of down-converted photons. As a consequence, different values
of αprovide different theoretical predictions for the same setup. Therefore an informed and unique
choice of this parameter is necessary. In this paper, we present a choice of αwhich maximizes the
validity of the Gaussian approximation. Moreover, we also discuss the so-called super -Gaussian
and cosine-Gaussian approximations as practical alternatives with improved predictive power for
experiments.
I. INTRODUCTION
In spontaneous parametric down-conversion (SPDC),
a nonlinear-responding quadratic crystal is pumped by a
laser field, in order to convert (high-energy) photons into
entangled photon pairs. Entangled states generated by
SPDC have provided an experimental platform for funda-
mental quantum technologies, such as quantum cryptog-
raphy [1], quantum teleportation [2], or optical quantum
information processing [3], and by including recent mile-
stone experiments in photonic quantum computing [4].
The quantum theory of down-converted pairs is well
known and plays a crucial role in the modeling of SPDC
experiments. The state of such a SPDC pair is also
known as a biphoton state. Within the paraxial ap-
proximation, where the longitudinal and transversal com-
ponents of the wave vector are treated separately, k=
q+kz(ω)z, the biphoton state can be written as [5–7]
|Ψi=NZZ dqsdqidωsdωi
pump
z }| {
V(qs+qi) Sp(ωs+ωi)
×sincL∆kz
2
| {z }
phase matching
ˆa†
s(qs, ωs) ˆa†
i(qi, ωi)|vaci.
(1)
In expression (1), Nis the normalization factor, V(qp)
is the spatial and Sp(ωp) the spectral distribution of the
pump beam, Lis the length of the nonlinear crystal, |vaci
∗baghdasar.baghdasaryan@uni-jena.de
†fabian.steinlechner@uni-jena.de
is the vacuum state, ωs,i and qs,i are the energies and
transverse components of wave vectors of down-converted
fields (signal and idler), and ˆa†
s,i(qs,i) are the correspond-
ing creation operators.
Expression (1) can be simplified if we approximate
the sinc function in terms of the Gaussian function
sinc(x2)≈exp(−x2). Many useful analytical expressions
can be then defined for SPDC within this approxima-
tion. A good example is the expression for the Schmidt
number of the biphoton state presented in Ref. [8].
Already in Ref. [8], the calculations within the Gaus-
sian approximation delivered a small deviation from ex-
perimentally measured values for the Schmidt number. It
has often been suggested in the literature to optimize this
approximation by presenting an optimization factor αin
the exponential expression exp (−αx2). The value of α
has been chosen, for example, by matching the widths of
Gaussian and sinc functions [9–11], by matching second-
order momenta [12], by comparing momentum correla-
tions in SPDC [13], or by comparing the coincidence and
single-particle spectral widths of the biphoton state [14].
Obviously, different values of αdeliver different theo-
retical predictions for the same setup. A unique choice
of α, which should minimize the error of the approxima-
tion, is lacking. In order to solve this problem, we look in
this paper at the states themselves, instead of comparing
just the sinc and Gaussian functions or other observable.
Eventually, the goal is to make the distance between sinc-
and Gaussian-like states as small as possible. We use an
appropriate distance measure for this purpose such as fi-
delity [15] and find the particular αthat maximizes it.
Except for the Gaussian approximation, we will also dis-
cuss the cosine- and super -Gaussian approximations and
will compare them with the usual Gaussian approxima-
tion. (All these functions can be compared in Fig. 3,
arXiv:2210.02340v2 [quant-ph] 19 Dec 2022